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Architecture Analysis Techniques. Ding Li 2927154806. Review. Inspections and Reviews. Manual Techniques Static or Scenario-based In Theory, it can test everything of an architecture All stakeholders are involved Not only technical people. the Architectural Trade-off Analysis Method.
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Architecture Analysis Techniques Ding Li 2927154806
Inspections and Reviews • Manual Techniques • Static or Scenario-based • In Theory, it can test everything of an architecture • All stakeholders are involved • Not only technical people
the Architectural Trade-off Analysis Method • First proposed by Clements in CMU • Human-centric process to identify risks in the early stage of software design • All stakeholders will be involved • Clients • Managers • Developers
ATAM • Focus on non-functional properties • Modifiability • Security • Performance • Reliability • Identify risks • Reveal how well the system meets the requirements
Detail of ATAM • 4 Phases • Preparation • Presentation and Analysis • Testing and Reporting • Finalization • 9 steps
Phase 0-Preparation • Find out the right people • Who will do the presentation • Who will be the representatives of clients • Training Session • Necessary Materials • Kick-off Meeting
Phase 1-Presentation and Analysis • Step 1:Present the ATAM • Step 2:Present the business drivers • Step 3:Present the architecture • Step 4:Identify the Architectural Approaches • Step 5: Draw the Quality Attribute Utility Tree • Step 6:Analyze the Architectural Approach
Phase 2-Testing and Reporting • Step 7: Brainstorming and Prioritizing Scenarios • Step 8: Analyze the Architectural Approach • Step 9: Present the result
Phase 3- Finalize • Producing a final report • Collecting Data for measurement and improvement • Archive all artifacts
Why use the ATAM? • Enable non-technical people to control the quality of software • A Method for developers to sell their project
Limitation of ATAM • Expensive • Time consuming • Human intensive
Model Based Analysis • Based on the description of Architecture • ADLs • Can be done automatically • Less expensive
Model Based Analysis • Goals • Consistency • Compatibility • Internal Completeness • Scope • Component level • Data exchange level • Type • Static
Model Based Analysis • Techniques are complex • May not be possible to analyze a very large system in a very high accuracy • Sometimes may need to sacrifice some accuracy • Can only analyze properties that are not formally described • Non-functional Properties are not supported
Model Based Analysis Enabled by ADLs • Parsers and compilers • Check the syntax • Check consistency • Exam Refinement • Exam Constrains type DataStore be interface action in SetValues(); out NotifyNewValues(); behavior begin SetValues => NotifyNewValues();; end DataStore; type Calculation is interface action in SetBurnRate(); out DoSetValues(); behavior action CalcNewState(); begin SetBurnRate => CalcNewState1(); DoSetValues(a);; end Calculation; type Player is interface action out DoSetBurnRate(); in NotifyNewValues(); behavior TurnsRemaining : var integer := 1; action UpdateStatusDisplay(); action Done();
Simulation-Based Analysis • Create a dynamic executable model of system • It is a high level executable model • Require support from modeling language, not all languages are executable
Simulation-Based Analysis • Goals • Completeness • Consistency • Compatibility • Correctness • Scope • System or subsystem level • Dataflow
Simulation-Based Analysis • Concern • Behaviors • Interaction • Non-functional properties • Dynamic, scenario-based • Fully automated
XTEAM • Is developed by George Edwards • Create simulation codes from High-level model • Easy to change the model and create new simulation codes • Can simulate the latency, power consumption and reliability of a system
FSP in XTEAM • FSP is a behaviors ADL • Present Finite State Machine in an algebra way
Power simulation in XTEAM • Assign the Power consumption of each process • Assigned by Power model • Assigned by Domain Expert • Record the power consumption of each invocation of process • Data are analyzed by human
Summary of XTEAM • Fully automatic simulation • Generate simulation code automatically • Human are only involved in Data analysis • A wider range of goals and concerns and be achieved than static techniques • Could analysis some non-functional properties
Reliability Analysis • The probability that the system runs without failure • A failure is the occurrence of an incorrect output according to an input • Error: mental mistake made by programmers • Fault: manifestation of an error
Reliability Metrics • Time to failure • Time to repair • Time between failures
Discrete Markov Model • A Stochastic Process Model • Based on a Finite State Machine
Hidden Markov Process • Transition Probabilities between each state may not be known • Need some training data to estimate transition probabilities • Simulation is needed
Summary of Reliability Analysis • Reliability analysis can be both dynamic or static • Require Domain Knowledge • Some times the Markov properties may not satisfied
Summary • ATAM • Model-based Analysis • Simulation-based Analysis • Reliability Analysis
Reference • Evaluating Software Architecture: Methods and Case Studies • Guide to the Rapide-1.0 Language Reference Manuals • Rapide-1.0 Architecture Language Reference Manual • OMG Object Constraint Language (OCL) Documents • DRESDEN OCL MANUAL FOR INSTALLATION, USE AND DEVELOPMENT • Model and Object Verification by Using Dresden OCL Birgit Demuth et.al 2009 • XTEAM USER MANUAL • Finite State Process Algebra and LTSA • Scenario-Driven Dynamic Analysis of Distributed Architectures George Edwards et.al 2007 • Estimating Software Component Reliability by Leveraging Architectural Models Roshanak Roshandel et.al 2006